The Relationship between Innovation and Productivity conditional to R&D and ICT use. An empirical analysis for firms in Luxembourg
AbstractThis paper raises the question of the relationship between innovation and productivity conditional to ICT use and R&D activities during the innovation process. Concretely, we wonder whether R&D activities and ICT use considered as innovation inputs play a role in determining the probability of introducing technological and non technological innovations and whether these innovation outputs conditional to ICT use and R&D lead to a higher level of labour productivity. In this adaptation of CDM model extended with ICT use, we consider a four equations model that relates labour productivity to innovation outputs, innovation outputs to R&D and ICT use, and R&D and ICT use to their determinants. Our robust three-step estimations underline the benefits of taking into account the joint endogeneity of the key variables of the whole system. Unlike the previous empirical literature, we introduce in the model a large set of indicators of ICT use to capture the degree of variety and sophistication of ICT and distinguish two types of R&D activities, internal and external R&D instead of constituting aggregated measures of ICT use and R&D. We observe that while confirming the acknowledged ‘innovation-enabler’ role of some ICT, the results point out the fact that not all increases in ICT investments translate into equivalent increase in firm capacity to introduce new products/processes or in an improvement of innovative performance. In addition, the productivity effect of product innovation appears only at the moment of its commercial success, measured as the turnover percentage of sales generated from new or improved products. Furthermore, estimation results confirm the acknowledged belief that new or improved organizational arrangements, conditional to ICT platforms, lead to a subsequent improvement of product quality, timeliness, reduce waste, transactions and coordination costs, which could, in turn, result in an improvement of the labour productivity.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Development and Policies Research Center (DEPOCEN), Vietnam in its series Working Papers with number 11.
Length: 28 pages
Date of creation: 2011
Date of revision:
Innovation; Productivity; R&D; ICT; Organizational innovation; CIS;
Find related papers by JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
- O31 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
- O32 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Management of Technological Innovation and R&D
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Doan Quang Hung).
If references are entirely missing, you can add them using this form.